class TestBinomialClass(unittest.TestCase):
def setUp(self):
self.binomial = Binomial('numbers_binomial.txt')
def test_readdata(self):
self.assertEqual(self.binomial.data,\
[0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0], 'data not read in correctly')
def test_meancalculation(self):
mean = self.binomial.calculate_mean()
self.assertEqual(round(mean, 2), 8.00,
'calculated mean not as expected')
def test_stdevcalculation(self):
stdev = self.binomial.calculate_stdev()
self.assertEqual(
round(stdev, 2), 1.75, 'calculated standard deviation\
not as expected')
def test_pmf(self):
self.assertEqual(
round(self.binomial.pmf(5), 3), 0.054, 'propability \
mass function does not give the expected result ')
self.assertEqual(round(self.binomial.pmf(3), 3), 0.005)
def test_def(self):
self.assertEqual(str(self.binomial),
"""Number of trials {}, success propability for each trial {} """ .\
format(13, 0.62),'Parameters of the Binomial not as expected')
class TestBinomail(unittest.TestCase):
def setUp(self):
self.distribution = Binomial(3, 5, 0.85)
def test_init_with_errors(self):
params = ((None, None, None), (1.2, None, None), (-1, None, None),
(-1.2, None, None), (3, None, None), (3, 1.2, None),
(3, -1, None), (3, 5, None), (3, 5, -2), (3, 5, -1.2),
('some', 5, 0.85), (5, 'string', 0.85), (5, 10,
'some'), (3, 5, 2))
for param in params:
with self.assertRaises(ValueError):
Binomial(*param)
def test_mean(self):
mean = self.distribution.mean()
self.assertEqual(mean, 4.25)
def test_pmf(self):
pmf = self.distribution.pmf()
self.assertEqual(pmf, 0.13817812500000001)
def test_variance(self):
variance = self.distribution.variance()
self.assertEqual(variance, 0.63750000000000007)
def test_std(self):
std = self.distribution.std()
self.assertTrue(std, 0.79843597113356568)
def test_cdf(self):
cdf = self.distribution.cdf()
self.assertTrue(cdf, 0.16479000000000005)
def test_pmfs(self):
t_pmfs = np.array(
[7.59375000e-05, 2.15156250e-03, 2.43843750e-02, 1.38178125e-01])
pmfs = self.distribution.pmfs()
self.assertIsNotNone(pmfs)
numpy_testing.assert_allclose(t_pmfs, pmfs)
